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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 19776
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    INDEX
    Explanations

    mentions of the concept of profit

    oai_token-act-pair · gpt-3.5-turbo

    references to profit and financial gain

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chairs
    -0.70
    ocally
    -0.67
    thia
    -0.65
    channelAvailability
    -0.63
    heter
    -0.62
    ocal
    -0.61
    stanbul
    -0.61
    unci
    -0.61
    length
    -0.61
     Sturgeon
    -0.61
    POSITIVE LOGITS
     margins
    1.08
     margin
    1.03
     profit
    0.95
     profits
    0.91
     motive
    0.87
    ulent
    0.82
    ably
    0.81
     Profit
    0.80
     earnings
    0.78
     reap
    0.75
    Activations Density 0.026%

    No Known Activations